2022
Local Identifiability of Deep ReLU Neural Networks: the Theory
NeurIPS 2022accept
Is a sample rich enough to determine, at least locally, the parameters of a neural network? To answer this question, we introduce a new local parameterization of a given deep ReLU neural network by fixing the values of some of its weights. This allows us to define local lifting operators whose inver…